big data implementation examples

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MySQL Big Data backup and incremental backup and restore

Tags: sys usr object NEC traffic Roo Delta Center offThere are currently two major tools available for physical hot provisioning: Ibbackup and Xtrabackup, Ibbackup is expensive to authorize, and Xtrabackup is more powerful and open source than Ibbackup Xtrabackup provides two command-line tools: Xtrabackup: Data dedicated to backing up the InnoDB and XTRADB engines; Innobackupex: This is a Perl script that calls the Xtrabackup command during execution

Azure HDInsight and Spark Big Data Combat (ii)

instructions to download the document and run it for later spark programs.wget Http://en.wikipedia.org/wiki/HortonworksCopy the data to HDFs in the Hadoop cluster,Hadoop fs-put ~/hortonworks/user/guest/hortonworksIn many spark examples using Scala and Java application Demonstrations, this example uses Pyspark to demonstrate the use of the Python voice-based spark method.PysparkThe first step is to create a

How Apache Pig playing with big data integrates with Apache Lucene

have doubts, the index stored in HDFs can be directly queried or access it? The answer is yes, but it is not recommended that you directly read the HDFs index, even if the block cache with Hadoop to speed up, performance is still relatively low, unless your cluster machine is not lack of memory, otherwise, it is recommended that we directly copy the index to the local disk and then retrieve, This is a temporary trouble, scattered in the following article will explain how to put pig generated re

Big Data Learning Articles

the work submittedSecond, the MapReduce scheduling and execution principle of job initializationThird, the task scheduling of MapReduce dispatching and executing principleIv. task scheduling of the MapReduce scheduling and execution Principle (cont.)Jobtracker Job START Process Analysis:http://blog.csdn.net/androidlushangderen/article/details/41356521Hadoop Cluster Job scheduling algorithmanalysis of data skew in Hadoop: http://my.oschina.net/leejun2

How to become a master of cloud computing Big Data spark

Spark is a cluster computing platform originating from the University of California, Berkeley, amplab. It is based on memory computing and has hundreds of times better performance than hadoop. It starts from multi-iteration batch processing, it is a rare and versatile player that combines multiple computing paradigms, such as data warehouses, stream processing, and graph computing. Spark uses a unified technology stack to solve all core issues of clou

Hadoop in the Big Data era (i): Hadoop installation

configuration file (core-site.xml,hdfs-site.xml,mapred-site.xml,masters,slaves)3, set up SSH login without password4. Format File system Hadoop Namenode-format5. Start the daemon process start-all.sh6. Stop Daemon ProcessNamenode and Jobtracker status can be viewed via web page after launchnamenode-http://namenode:50070/jobtracker-http://jobtracker:50030/Attention:Hadoop is installed in the same location on each machine, and the user name is the same.3. Eclipse Plug-in installationThe Eclipse H

Hadoop In The Big Data era (1): hadoop Installation

; Preferences adds the settings column for setting the hadoop installation location; InAdded DFS locations in the project category E view.Project to view the content of the HDFS file system and upload and download files; Mapreduce project is added to the new project; AddedRun on hadoopPlatform features. It should be noted that the contrib \ eclipse-plugin \ hadoop-0.20.2-eclipse-plugin.jar of hadoop is out of date, and a new one needs to be downloaded from the Internet, otherwise ther

MySQL Big Data query performance optimization Tutorial

query is still inconvenient) Third, index optimization strategy 1. Index type 1.1 B-tree Index Called Btree Index, the big aspect, all uses the balance tree, but the concrete implementation, each engine slightly different, for example, strictly speaking, NDB engine, uses is T-tree. But abstract b-tree system, can be understood as "orderly fast query structure." 1.2 Hash Index In the memory table is the def

"Big Data Notes" vernacular zookeeper consistency

, straightforward point is that the data can be in more than 10 seconds sync to each node, to ensure eventual consistency. " The first time I saw this real-time, I was curious, Oracle RAC spent the old nose to ensure the real-time and consistency, zookeeper is how easy to do, the original is a fake, but also said that people misunderstanding. "Given these consistency guarantees, the design and implementation

(Big Data Engineer Learning path) Fourth Step SQL Foundation Course----Select detailed

, which uses the order by sort key. By default, the result oforder by is arranged in ascending order, while the keyword ASC and DESC can be used to specify ascending or descending sorting. For example, we sort by salary in descending order, the SQL statement is:SELECT name,age,salary,phone FROM employee ORDER BY salary DESC;7. SQL built-in functions and calculationsSQL allows you to calculate the data in a table. For this, SQL has 5 built-in functions

Big story data Structure reading Note series (vi) tree < prev >

children Brother representation (binary tree) Any tree, the first child of its node if existence is the only one, its right brother if existence is also unique. Therefore, we set two pointers to the first child of the node and the right sibling of the node, respectively. Data FirstChild Rightsib Where data is the domain, FirstChild is the pointer field, storing the node

Enterprise Big data to AI evolution

styleLean IT organization and shared leadershipLearning Organization and EnterpriseEnterprise innovation culture and grade conceptOrganizational goals and personal goalsRecruitment and management of start-up companiesTalent company environment and corporate cultureCorporate culture, team culture and knowledge sharingHigh-Performance Team buildingProject Management Communication PlanBuild efficient research and development and automated operation and maintenancePractice of a large-scale electric

Janet: Looking at the IT architecture in the Big Data Era (2) rabbitmq-basic concept of Message Queuing detailed introduction

Janet previous chapter "Janet: Look at the Big Data era of IT Architecture (1) Industry message Queue comparison", roughly speaking, the current message queue of several common products of the pros and cons of the comparison, the next few chapters will be elaborated in detail, this chapter introduces RABBITMQ, OK, nonsense less, formally started:First, the basic concept of a detailed introduction1. Introduc

DT Big Data Dream factory 57th Talk

Today "DT Big Data DreamWorks Video", 57th Lecture: Scala Dependency Injection in actionPotato: http://www.tudou.com/programs/view/5LnLNDBKvi8/Baidu Network disk: Http://pan.baidu.com/s/1c0no8yk(DT Big Data Dream factory Scala all videos, PPT and code in Baidu Cloud disk link address:http://pan.baidu.com/share/home?uk=

Big Data and JS: predicted World Cup Championship in Brazil in 2014

Code: http://www.zuidaima.com/share/1855841547176960.htm Original article: Big Data and JS: predicted World Cup Championship in Brazil in 2014 The four-year fans carnival is approaching, and the top 32 are ready. Starting in June 13, this will bring a top-level football feast to fans all over the world.Since the top 32 groups, the predictions on the winning and losing of each team have never been stopped. E

How Apache Pig playing with big data integrates with Apache Lucene

(', ') as(lbl:chararray,desc:Chararray,score:int);; --Build the index and store it on HDFS, noting the need to configure a simple Lucene index (storage?). Is it indexed? ) Store A into '/tmp/data/20150303/luceneindex ' using Lucenestore (' store[true]:tokenize[true] '); At this point, we have successfully stored the index on HDFS, do not be happy to kill, this is just a beginning, where you may have doubts, the index stored in HDFs can be d

How Apache Pig playing with big data integrates with Apache Lucene

simple Lucene index (storage?). Is it indexed? ) Store A into '/tmp/data/20150303/luceneindex ' using Lucenestore (' store[true]:tokenize[true] '); At this point, we have successfully stored the index on HDFS, do not be happy to kill, this is just a beginning, where you may have doubts, the index stored in HDFs can be directly queried or access it? The answer is yes, but it is not recommended that you directly read the HDFs index, even if the bloc

Spark's way of cultivation (basic)--linux Big Data Development Basics: Fifth: VI, VIM editor (ii)

with P h Adoop, Hadaap :/e> like, source :/\ Find the string starting with had, \ also has special meaning hadoop, Hadoo :/spa * \ spark, Spaspark :/sp[ae]rk match spark or Sperk spark, Sperk 4. Text substitutionText substitution uses the following syntax format::[g][address]s/search-string/replace-string[/option]Where address is used to specify a replacement

Big talk data Structure reading Note series (three) linear table

differences between the head pointer and the head knot point :single-linked list Read, Its main core idea is " The work pointer moves back ". single linked listinserting and deletingalgorithm, we find that they are actually composed of two parts: the first part is to traverse to find the first node, and the second part is to insert and delete nodes. It is easy to deduce that their time complexity is O (n). If we do not know the pointer position of the node I, the single-linked list

LAMDBA Performance testing Big Data memory lookups

verification script by another colleague wrote, began to get the script dropped into the test, the results of half an hour did not respond. To end the process decisively. Then there is the painful optimization process, which once doubted that such a way would not work. It took almost two weeks to complete 5,000 main set messages within 10 seconds. 50W data is also completed in 3-5 minutes. Finally, 100 concurrent tests are completed. The check result

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